// agents · firerpa/lamda

lamda

lamda ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von firerpa (firerpa/lamda auf GitHub). Es hat 8.553 Sterne auf GitHub und 1.155 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 27. September 2026 auf GitHub aktualisiert.

FIRERPA / LAMDA — full-stack Android device control: remote desktop, automation, MITM, Frida and MCP.

★ 8,6 Tsd. Sterne⑂ 1,2 Tsd. ForksMITaktualisiert Sep 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

Repository
firerpa/lamda
GitHub-Sterne
8.553
Forks
1.155
Lizenz
MIT
Zuletzt auf GitHub aktualisiert
27. September 2026
Kategorie
KI-Agenten
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    Decide your use case — device farm, automation, traffic analysis or reverse engineering — and prepare the Android devices (root is optional) you will enrol.

  2. Get the project

    Clone firerpa/lamda from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Deploy the FIRERPA server on each device per the project documentation, then install the Python client library on your PC to orchestrate them.

  4. Run your first task

    Open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.

// funktionen

Warum es so beliebt ist

Remote desktop and streaming

Browser-based remote control with MJPEG and H.264 (up to 60fps), WebRTC with STUN/TURN, multi-user access, clipboard, audio and file browsing over a single port.

Full UI automation

Selector-based automation with child/sibling chaining, UI Watchers for popups, OCR and on-device image matching, multi-touch recording and replay — plus virtual displays that run automation without disturbing the main screen.

One-click MITM capture

Automatic CA install and proxy setup, per-app capture, live request/response editing and QUIC downgrade, all API-driven alongside mitmproxy-compatible tooling.

Built-in Frida

Frida is bundled with hiding patches, persistent scripts with hot reload, and RPC mapped to Python methods and HTTP JSON-RPC — no separate frida-server.

Networking toolkit

HTTP/HTTPS/SOCKS5/Shadowsocks per-app proxying, a device HTTP bridge, built-in OpenVPN and frp clients, and mDNS fleet discovery.

Fleet and agent ready

Distributed multi-device management with 160+ APIs, plus MCP/Agent support so AI agents can drive devices through the same platform.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source from the official GitHub repository for lamda.

    git clone https://github.com/firerpa/lamda.git
    cd lamda
  2. Get the platform

    Clone the repository and follow the deployment documentation for installing the FIRERPA server on your Android device.

    git clone https://github.com/firerpa/lamda.git
    cd lamda  # then follow the deployment docs — see README
  3. Connect from Python

    Install and use the Python client library per the docs to connect to a device and run your first automation call.

    # Install the Python client per the project docs, connect to the device, then call the device API — see README
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains lamda?

firerpa, through the firerpa/lamda repository, with the product site at device-farm.com.

Is lamda free to use?

Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.

Does lamda need a paid API key?

The platform itself is open source and needs no paid key; AI/MCP agent features use whatever model you connect, with your own credentials.

How does FIRERPA compare to stitching together Appium, mitmproxy and frida-server?

That stack works but means separate tools, configs and failure modes. FIRERPA positions itself as one server and one API covering automation, capture, Frida and fleet ops — built specifically for multi-device, long-running production use.

How do I get started with lamda?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Agenten

Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls lamda nicht das Richtige ist.

// mehr in agents

Mehr in KI-Agenten

Verwandte Projekte der Kategorie KI-Agenten im Katalog, die lamda bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir lamda

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.